fix: replace sub-dict keys on assignment in NDict.__setitem__ (Fixes #397)#418
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When assigning a new dict value to an existing key in NDict, old sub-keys that were not present in the new dict were retained, causing unexpected merge-like behavior instead of replacement. Fix: delete all existing sub-keys with the matching prefix before setting the new dict's keys. This ensures full replacement semantics. Fixes BiomedSciAI#397
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Fixes #397
Problem
When assigning a new dict to an existing key in
NDict, old sub-keys that were not present in the new dict were retained, causing unexpected merge-like behavior instead of full replacement.Reproduction:
Root cause:
NDict.__setitem__(line 212) iterates over the new dict's keys and sets them, but never removes the old sub-keys stored under the same prefix.Solution
Before setting the new dict's sub-keys, delete all existing
_storedkeys that start withkey + ".". This ensures the assignment fully replaces the previous sub-dict content.Verification
About the Author: Raphael Malikian — Clinical AI Solutions Architect. I specialise in building and fixing AI/ML systems for healthcare, including vector databases, RAG pipelines, and clinical NLP. If you need help with your project or think I can add value to your organisation, feel free to reach out — I'd love to connect.
📧 rtmalikian@gmail.com
🔗 GitHub: https://github.com/rtmalikian
🔗 LinkedIn: http://www.linkedin.com/in/raphael-t-malikian-mbbs-bsc-hons-71075436a
Disclosure: This code was developed with assistance from mimo-2.5-pro (Xiaomi) via Hermes Agent (Nous Research). All changes were reviewed, tested against the actual codebase, and verified for correctness.